Spark Mllib Hadoop Core powered by Miri Infotech
Spark is a general-purpose and quick cluster computing system that provides high-level APIs in Scala, Java, Python, and R, and an optimized engine, which supports general execution graphs.
  • Delivery Method: Image
  • Architecture: 64
  • Base Operating System: linux
  • Latest Version: V1
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Product Details
  • Product Highlights
    1. Data types, Classification, regression and Collaborative filtering 2. It provides Clustering, Dimensional reduction, Feature extraction and transformation 3. It provides logistic regression, naive Bayes, Decision trees, random forests, and gradient-boosted trees
  • Product Description

    Available on Alibaba Cloud Network, and powered by Miri Infotech, Spark Mllib Hadoop Scala is a machine learning library that focuses on learning algorithms and utilities, which include classification, clustering, regression, dimensionality reduction, collaborative filtering, and underlying optimization primitives.

    Spark is a general-purpose and quick cluster computing system that provides high-level APIs in Scala, Java, Python, and R, and an optimized engine, which supports general execution graphs. It runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). Spark also supports the set of higher-level tools that include Spark SQL for SQL and structured data processing, GraphX for graph processing, MLlib for machine learning, and Spark Streaming.

    Miri Infotech, a leading IT Solutions provider is launching a product that will configure and publish Spark MLlib, a software solution that is embedded pre-configured tool with Ubuntu OS and ready-to-launch AMI on Alibaba Marketplace containing Spark MBlib, Hadoop 2.7, Scala, Linux, PHP (LAMP).

    MLlib fits into Spark's APIs and works with Scala. It is developed as part of the Apache Spark project, thus, gets tested and updated with every Spark release. Users can use any Hadoop data source (e.g. HDFS, HBase, or local files), to make it easy to plug in Hadoop workflows. Spark excels at repetitive computation that enables MLlib to run faster. Spark runs on Hadoop, standalone, or in the cloud, against diverse data sources.

    Why Spark and Scala is apt for Professionals and Organizations?

    • Fault tolerance capabilities due to immutable primary abstraction known as RDD.
    • Provides extremely reliable, fast in-memory computation.
    • Efficient in real-time analytics that uses spark streaming and spark sql.
    • Provides processing platform for streaming data which uses spark streaming.
    • Inbuilt machine learning libraries.
    • Compatible with any api JAVA, SCALA, PYTHON, R that makes programming simple
    • Graphx libraries in spark core for graphical observations.
    • Competent in interactive probes as well as an iterative algorithm.

     

    For more info- http://www.cloud.miritech.com/Alibaba-Cloud/Spark.aspx

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